dc.contributor.author | Dai, Chengxin | |
dc.contributor.author | Füllgrabe, Anja | |
dc.contributor.author | Pfeuffer, Julianus | |
dc.contributor.author | Solovyeva, Elizaveta M. | |
dc.contributor.author | Deng, Jingwen | |
dc.contributor.author | Moreno, Pablo | |
dc.contributor.author | Kamatchinathan, Selvakumar | |
dc.contributor.author | Kundu, Deepti Jaiswal | |
dc.contributor.author | George, Nancy | |
dc.contributor.author | Fexova, Silvie | |
dc.contributor.author | Grüning, Björn A. | |
dc.contributor.author | Föll, Melanie Christine | |
dc.contributor.author | Griss, Johannes | |
dc.contributor.author | Vaudel, Marc | |
dc.contributor.author | Audain, Enrique | |
dc.contributor.author | Locard-Paulet, Marie | |
dc.contributor.author | Turewicz, Michael | |
dc.contributor.author | Eisenacher, Martin | |
dc.contributor.author | Uszkoreit, Julian | |
dc.contributor.author | Van Den Bossche, Tim | |
dc.contributor.author | Schwämmle, Veit | |
dc.contributor.author | Webel, Henry | |
dc.contributor.author | Schulze, Stefan | |
dc.contributor.author | Bouyssié, David | |
dc.contributor.author | Jayaram, Savita | |
dc.contributor.author | Duggineni, Vinay Kumar | |
dc.contributor.author | Samaras, Patroklos | |
dc.contributor.author | Wilhelm, Mathias | |
dc.contributor.author | Choi, Meena | |
dc.contributor.author | Wang, Mingxun | |
dc.contributor.author | Kohlbacher, Oliver | |
dc.contributor.author | Brazma, Alvis | |
dc.contributor.author | Papatheodorou, Irene | |
dc.contributor.author | Bandeira, Nuno | |
dc.contributor.author | Deutsch, Eric W. | |
dc.contributor.author | Vizcaíno, Juan Antonio | |
dc.contributor.author | Bai, Mingze | |
dc.contributor.author | Sachsenberg, Timo | |
dc.contributor.author | Levitsky, Lev I. | |
dc.contributor.author | Perez-Riverol, Yasset | |
dc.date.accessioned | 2022-04-19T10:43:59Z | |
dc.date.available | 2022-04-19T10:43:59Z | |
dc.date.created | 2022-02-04T07:18:51Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://hdl.handle.net/11250/2991285 | |
dc.description.abstract | The amount of public proteomics data is rapidly increasing but there is no standardized format to describe the sample metadata and their relationship with the dataset files in a way that fully supports their understanding or reanalysis. Here we propose to develop the transcriptomics data format MAGE-TAB into a standard representation for proteomics sample metadata. We implement MAGE-TAB-Proteomics in a crowdsourcing project to manually curate over 200 public datasets. We also describe tools and libraries to validate and submit sample metadata-related information to the PRIDE repository. We expect that these developments will improve the reproducibility and facilitate the reanalysis and integration of public proteomics datasets. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Nature | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A proteomics sample metadata representation for multiomics integration and big data analysis | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2021 The Author(s) | en_US |
dc.source.articlenumber | 5854 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.doi | 10.1038/s41467-021-26111-3 | |
dc.identifier.cristin | 1997627 | |
dc.source.journal | Nature Communications | en_US |
dc.identifier.citation | Nature Communications. 2021, 12 (1), 5854. | en_US |
dc.source.volume | 12 | en_US |
dc.source.issue | 1 | en_US |